Section: Importing modules

In [1]:
import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from IPython.display import display
import IPython.core.display as di
from include.config import CleaningConfig, PlottingConfig, NotebookConfig
from include.counting import get_count, get_percentage
from include.plotting import get_plot, display_side_by_side
from include.likertScalePlot import likert_scale
from include.textCleaning import wordcloud
In [2]:
pd.set_option('display.max_rows', 1000)
pd.set_option('display.max_columns', 1000)

This text is used to hide the code cell when exported in html

In [3]:
di.display_html('<script>jQuery(function() {if (jQuery("body.notebook_app").length == 0) { jQuery(".input_area").toggle(); jQuery(".prompt").toggle();}});</script>', raw=True)
In [4]:
get_ipython().magic('matplotlib inline')  # Activate that line to use in Jupyter 
matplotlib.rcParams['figure.figsize'] = (15.0, 8.0)

Loading dataset

In [5]:
df =  pd.read_csv('./uk_2017/data/cleaned_data.csv')

The total of participant after cleaning the dataset. Remove all participants that have not completed the survey passed the first pages and all participants who are not from the country

In [6]:
len(df)
Out[6]:
253

Section: 1

Group of question: socio

In which country do you work?

In [7]:
v_to_count  = get_count(df, ['socio1. In which country do you work?'], "one choice", "./../survey_creation/uk_17/listAnswers/countries.csv")
In [8]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [9]:
display_side_by_side(v_to_count,perc_to_count)
socio1. In which country do you work?
United Kingdom 253
socio1. In which country do you work? [PERCENTAGE]
United Kingdom [PERCENTAGE] 100.0
In [10]:
_ = get_plot(perc_to_count, "one choice")

Group of question: edu

What is the highest qualification you have obtained?

In [11]:
v_to_count  = get_count(df, ['edu1. What is the highest qualification you have obtained?'], "one choice", "./../survey_creation/uk_17/listAnswers/education.csv")
In [12]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [13]:
display_side_by_side(v_to_count,perc_to_count)
edu1. What is the highest qualification you have obtained?
Doctorate 170
Master degree 56
Undergraduate degree 25
Other 2
edu1. What is the highest qualification you have obtained? [PERCENTAGE]
Doctorate 67.19
Master degree 22.13
Undergraduate degree 9.88
Other 0.79
In [14]:
_ = get_plot(perc_to_count, "one choice")

In which subject is your highest academic qualification?

In [15]:
v_to_count  = get_count(df, ['edu2. In which subject is your highest academic qualification?'], "one choice", "./../survey_creation/uk_17/listAnswers/academic_field.csv")
In [16]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [17]:
display_side_by_side(v_to_count,perc_to_count)
<<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf
edu2. In which subject is your highest academic qualification?
Computer Science 69
Physics and Astronomy 69
Mathematics 19
Chemistry 16
Biological Sciences 15
Other 12
Geography & Environmental Sciences 10
Electrical & Electronic Engineering 8
Civil Engineering 6
Mechanical Engineering 4
Geology 3
Materials Technology 3
General EngineeringLinguistics3
Psychology 3
Psychology 3
Aeronautical & Manufacturing Engineering 2
Medicine 2
Art & DesignTheology & Religious Studies1
History 1
Robotics 1
Theology & Religious StudiesArt & Design 1
Robotics1
NaN 2
<<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf
edu2. In which subject is your highest academic qualification? [PERCENTAGE]
Computer Science27.27
Physics and Astronomy 27.2727.49
Physics and Astronomy 27.49
Mathematics 7.51
Chemistry 6.32
Biological Sciences 5.93
Other 4.74
Geography & Environmental Sciences 3.95
Electrical & Electronic Engineering 3.16
Civil Engineering 2.37
Mechanical Engineering 1.58
Geology1.191.20
Materials Technology 1.19
General Engineering 1.19Linguistics 1.20
Psychology 1.19
Linguistics 1.19
Medicine 0.79
Aeronautical & Manufacturing Engineering 0.79
Art & DesignPsychology 1.20
Aeronautical & Manufacturing Engineering 0.80
Medicine 0.80
Theology & Religious Studies0.40
History 0.40
Robotics 0.40
Theology & Religious StudiesArt & Design 0.40
Robotics0.40
NaN 0.79
In [18]:
_ = get_plot(perc_to_count, "one choice")

Enter your academic subject

In [19]:
 wc = wordcloud(df, ['edu3. Enter your academic subject'])
In [20]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[20]:
(-0.5, 1499.5, 799.5, -0.5)

Do you hold any other professional qualifications?

In [21]:
 wc = wordcloud(df, ['edu4. Do you hold any professional qualifications?'])
In [22]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[22]:
(-0.5, 1499.5, 799.5, -0.5)

Group of question: rse

Do you write code as part of your job?

In [23]:
v_to_count  = get_count(df, ['rse1. Do you write code as part of your job?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [24]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [25]:
display_side_by_side(v_to_count,perc_to_count)
Yes No
rse1. Do you write code as part of your job? 246 7
Yes No
rse1. Do you write code as part of your job? [PERCENTAGE] 97.23 2.77
In [26]:
_ = get_plot(perc_to_count, "y/n/na")

Who uses the code that you write?

In [27]:
v_to_count  = get_count(df, ['rse3[SQ001]. Who uses the code that you write? []'], "likert", "./../survey_creation/uk_17/listAnswers/likert_usage_5.csv")
In [28]:
display(v_to_count)
0 - Mostly me 1 2 3 4 5 - Mostly other people
rse3[SQ001]. Who uses the code that you write? [] 7 34 31 38 60 76
In [29]:
_ = get_plot(v_to_count, "likert")

Group of question: soft

Do you consider yourself a professional software developer?

In [30]:
v_to_count  = get_count(df, ['soft2can. Do you consider yourself a professional software developer?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [31]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [32]:
display_side_by_side(v_to_count,perc_to_count)
Yes No
soft2can. Do you consider yourself a professional software developer? 147 106
Yes No
soft2can. Do you consider yourself a professional software developer? [PERCENTAGE] 58.1 41.9
In [33]:
_ = get_plot(perc_to_count, "y/n/na")

How many years of Software development experience do you have?

In [34]:
v_to_count  = get_count(df, ['soft1can. How many years of software development experience do you have?'], "freenumeric", "./../survey_creation/uk_17/listAnswers/.csv")
In [35]:
_ = get_plot(v_to_count, "freenumeric")

Group of question: time

In an average month, how much time do you spend on software development (Please rate your answer between 1 to 10. 1 Being none at all and 10 being All your time.)

In [36]:
v_to_count  = get_count(df, ['time1can[time1can]. In an average month, how much time do you spend on: [Software development]', 'time1can[time2can]. In an average month, how much time do you spend on: [Research]', 'time1can[time3can]. In an average month, how much time do you spend on: [People management]', 'time1can[time6can]. In an average month, how much time do you spend on: [Project management]', 'time1can[time4can]. In an average month, how much time do you spend on: [Teaching]', 'time1can[time5can]. In an average month, how much time do you spend on: [Other activities]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_time_10.csv")
In [37]:
display(v_to_count)
1 (None at all) 2 3 4 5 6 7 8 9 10 (All my time)
Software development 5.0 16.0 24.0 35.0 35.0 24.0 50.0 41.0 16.0 7.0
Research 45.0 58.0 37.0 29.0 25.0 20.0 20.0 10.0 7.0 2.0
People management 102.0 76.0 33.0 16.0 6.0 7.0 7.0 5.0 NaN 1.0
Project management 32.0 86.0 58.0 23.0 26.0 11.0 9.0 4.0 2.0 2.0
Teaching 109.0 77.0 33.0 17.0 6.0 8.0 1.0 NaN 1.0 1.0
Other activities 52.0 88.0 40.0 29.0 19.0 10.0 10.0 NaN 3.0 2.0
In [38]:
_ = get_plot(v_to_count, "likert")

Section: 2

Group of question: currentEmp

What type of organisation do you work for?

In [39]:
v_to_count  = get_count(df, ['currentEmp1. What type of organisation do you work for?'], "one choice", "./../survey_creation/uk_17/listAnswers/type_organisation.csv")
In [40]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [41]:
display_side_by_side(v_to_count,perc_to_count)
currentEmp1. What type of organisation do you work for?
University - within an academic group 128
National laboratory 41
University - within an IT service 21
University - within an HPC group 18
Government 17
Other 13
Private company 8
NGO 7
currentEmp1. What type of organisation do you work for? [PERCENTAGE]
University - within an academic group 50.59
National laboratory 16.21
University - within an IT service 8.30
University - within an HPC group 7.11
Government 6.72
Other 5.14
Private company 3.16
NGO 2.77
In [42]:
_ = get_plot(perc_to_count, "one choice")

Which University?

In [43]:
v_to_count  = get_count(df, ['currentEmp2. Which university?'], "one choice", "./../survey_creation/uk_17/listAnswers/universities.csv")
In [44]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [45]:
display_side_by_side(v_to_count,perc_to_count)
<<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf
currentEmp2. Which university?
University of Edinburgh 23
University of Sheffield 14
University of Oxford 11
University of Oxford 11
University College London (UCL)University of Manchester11
University of St Andrews 10
University of Cambridge 9
University of Southampton 8
University of Bristol 7
University of Leeds 7
Imperial College London 6
University of Birmingham 5
University of Warwick, Coventry 4
University of Bath 3
University of BathUniversity of Dundee3
University of Reading 3
Newcastle University 3
University of York 2
Bournemouth University 2
King's College LondonOther 2
University of Exeter2
King's College London 2
Bournemouth University 2
University of Glasgow 2
University of ExeterDurham University, Durham and Stockton-on-Tees (Queen's Campus) 2
University of Glasgow2
University of Sussex, Falmer and Brighton 1
Cranfield University, Cranfield, and Shrivenham 1
Birkbeck, University of London 1
Queen Mary, University of London 1
St George's, University of LondonSwansea University 1
University of Leicester 1
Royal Veterinary College 1
Queen Mary, University of London1
University of Nottingham 1
University of LiverpoolHeriot-Watt University, Edinburgh and Galashiels1
University of Gloucestershire, Cheltenham, Gloucester and London 1
Bangor University 1
Swansea University 1
University of Nottingham 1
Royal Veterinary CollegeBirkbeck, University of London 1
University of Gloucestershire, Cheltenham, Gloucester and London 1
St George's, University of London 1
Cranfield University, Cranfield, and Shrivenham1
University of Leicester 1
NaN 88
<<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf <<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf
currentEmp2. Which university? [PERCENTAGE]
University of Edinburgh 9.09
University of Sheffield 5.53
University of Manchester 4.35University of Oxford 6.67
University of Oxford 4.35
University College London (UCL) 4.35University of Manchester 6.67
University of St Andrews 3.95
University of Cambridge 3.56
University of Southampton 3.16
University of Bristol2.77
University of Leeds 2.774.24
University of Leeds 4.24
Imperial College London 2.37
University of Birmingham 1.98
University of Warwick, Coventry 1.58
University of Dundee 1.19
University of Bath 1.19University of Bath 1.82
University of Dundee 1.82
University of Reading 1.19
Newcastle University1.19
University of York 0.79
Bournemouth University 0.79
King's College London 0.79
Durham University, Durham and Stockton-on-Tees (Queen's Campus) 0.79
Other 0.79
University of Glasgow 0.79
University of Exeter 0.791.82
University of York 1.21
Other 1.21
University of Exeter 1.21
King's College London 1.21
Bournemouth University 1.21
Durham University, Durham and Stockton-on-Tees (Queen's Campus) 1.21
University of Glasgow 1.21
University of Sussex, Falmer and Brighton 0.40
Cranfield University, Cranfield, and Shrivenham 0.40
Birkbeck, University of London 0.40
Queen Mary, University of London 0.40
St George's, University of London 0.40
Heriot-Watt University, Edinburgh and Galashiels 0.40
University of Liverpool 0.40
University of Gloucestershire, Cheltenham, Gloucester and London 0.40Swansea University 0.61
University of Leicester 0.61
Royal Veterinary College 0.61
Queen Mary, University of London 0.61
University of Nottingham 0.61
Heriot-Watt University, Edinburgh and Galashiels 0.61
Bangor University 0.40
Swansea University 0.40
University of Nottingham 0.40
Royal Veterinary College 0.40
University of Leicester 0.40Birkbeck, University of London 0.61
University of Gloucestershire, Cheltenham, Gloucester and London 0.61
St George's, University of London 0.61
Cranfield University, Cranfield, and Shrivenham 0.61
NaN 34.78
In [46]:
_ = get_plot(perc_to_count, "one choice")
<<<<<<< HEAD >>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf " >

Which organisation do you work for?

In [47]:
 wc = wordcloud(df, ['currentEmp4. Which organisation do you work for?'])
In [48]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[48]:
(-0.5, 1499.5, 799.5, -0.5)

What is your official job title?

In [49]:
 wc = wordcloud(df, ['currentEmp5. What is your official job title'])
In [50]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[50]:
(-0.5, 1499.5, 799.5, -0.5)

Are you known by a different job title? If so, please enter the job title you use

In [51]:
 wc = wordcloud(df, ['currentEmp6. Are you known in your group by a different job title? If so, please enter the job title you use'])
In [52]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[52]:
(-0.5, 1499.5, 799.5, -0.5)

Do you work full time or part time

In [53]:
v_to_count  = get_count(df, ['currentEmp12. Do you work full time or part time?'], "one choice", "./../survey_creation/uk_17/listAnswers/type_hours.csv")
In [54]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [55]:
display_side_by_side(v_to_count,perc_to_count)
currentEmp12. Do you work full time or part time?
Full Time 242
Part-time 11
currentEmp12. Do you work full time or part time? [PERCENTAGE]
Full Time 95.65
Part-time 4.35
In [56]:
_ = get_plot(perc_to_count, "one choice")

What type of contract are you employed on?

In [57]:
v_to_count  = get_count(df, ['currentEmp10. What type of contract are you employed on?'], "one choice", "./../survey_creation/uk_17/listAnswers/type_contract.csv")
In [58]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [59]:
display_side_by_side(v_to_count,perc_to_count)
currentEmp10. What type of contract are you employed on?
Fixed term 92
Permanent -- funded by University core funding 77
Permanent -- as long as funding is available 65
Other/Not listed 15
Agency staff 3
Freelancer consultant contractor 1
currentEmp10. What type of contract are you employed on? [PERCENTAGE]
Fixed term 36.36
Permanent -- funded by University core funding 30.43
Permanent -- as long as funding is available 25.69
Other/Not listed 5.93
Agency staff 1.19
Freelancer consultant contractor 0.40
In [60]:
_ = get_plot(perc_to_count, "one choice")

When did you start your current contract

What is the duration of your current contract?

In [61]:
v_to_count  = get_count(df, ['currentEmp11. What is the duration of your current contract in months?'], "freenumeric", "./../survey_creation/uk_17/listAnswers/.csv")
In [62]:
_ = get_plot(v_to_count, "freenumeric")

In which disciplines do you work (select as many as apply)

In [63]:
v_to_count  = get_count(df, ['currentEmp13[SQ001]. In which disciplines do you work (select as many as apply)? [Accounting & Finance]', 'currentEmp13[SQ002]. In which disciplines do you work (select as many as apply)? [Aeronautical & Manufacturing Engineering]', 'currentEmp13[SQ003]. In which disciplines do you work (select as many as apply)? [Agriculture & Forestry]', 'currentEmp13[SQ004]. In which disciplines do you work (select as many as apply)? [American Studies]', 'currentEmp13[SQ005]. In which disciplines do you work (select as many as apply)? [Anatomy & Physiology]', 'currentEmp13[SQ006]. In which disciplines do you work (select as many as apply)? [Anthropology]', 'currentEmp13[SQ007]. In which disciplines do you work (select as many as apply)? [Architecture]', 'currentEmp13[SQ008]. In which disciplines do you work (select as many as apply)? [Art & Design]', 'currentEmp13[SQ009]. In which disciplines do you work (select as many as apply)? [Biological Sciences]', 'currentEmp13[SQ010]. In which disciplines do you work (select as many as apply)? [Business & Management Studies]', 'currentEmp13[SQ011]. In which disciplines do you work (select as many as apply)? [Chemical Engineering]', 'currentEmp13[SQ012]. In which disciplines do you work (select as many as apply)? [Chemistry]', 'currentEmp13[SQ013]. In which disciplines do you work (select as many as apply)? [Civil Engineering]', 'currentEmp13[SQ014]. In which disciplines do you work (select as many as apply)? [Classics & Ancient History]', 'currentEmp13[SQ015]. In which disciplines do you work (select as many as apply)? [Communication & Media Studies]', 'currentEmp13[SQ016]. In which disciplines do you work (select as many as apply)? [Complementary Medicine]', 'currentEmp13[SQ017]. In which disciplines do you work (select as many as apply)? [Computer Science]', 'currentEmp13[SQ018]. In which disciplines do you work (select as many as apply)? [Counselling]', 'currentEmp13[SQ019]. In which disciplines do you work (select as many as apply)? [Criminology]', 'currentEmp13[SQ020]. In which disciplines do you work (select as many as apply)? [Dentistry]', 'currentEmp13[SQ021]. In which disciplines do you work (select as many as apply)? [East & South Asian Studies]', 'currentEmp13[SQ022]. In which disciplines do you work (select as many as apply)? [Economics]', 'currentEmp13[SQ023]. In which disciplines do you work (select as many as apply)? [Education]', 'currentEmp13[SQ024]. In which disciplines do you work (select as many as apply)? [Electrical & Electronic Engineering]', 'currentEmp13[SQ025]. In which disciplines do you work (select as many as apply)? [English]', 'currentEmp13[SQ026]. In which disciplines do you work (select as many as apply)? [Fashion]', 'currentEmp13[SQ027]. In which disciplines do you work (select as many as apply)? [Food Science]', 'currentEmp13[SQ028]. In which disciplines do you work (select as many as apply)? [French]', 'currentEmp13[SQ029]. In which disciplines do you work (select as many as apply)? [Geography & Environmental Sciences]', 'currentEmp13[SQ030]. In which disciplines do you work (select as many as apply)? [Geology]', 'currentEmp13[SQ031]. In which disciplines do you work (select as many as apply)? [General Engineering]', 'currentEmp13[SQ032]. In which disciplines do you work (select as many as apply)? [German]', 'currentEmp13[SQ033]. In which disciplines do you work (select as many as apply)? [History]', 'currentEmp13[SQ034]. In which disciplines do you work (select as many as apply)? [History of Art, Architecture & Design]', 'currentEmp13[SQ035]. In which disciplines do you work (select as many as apply)? [Hospitality, Leisure, Recreation & Tourism]', 'currentEmp13[SQ036]. In which disciplines do you work (select as many as apply)? [Iberian Languages/Hispanic Studies]', 'currentEmp13[SQ037]. In which disciplines do you work (select as many as apply)? [Land & Property Management]', 'currentEmp13[SQ038]. In which disciplines do you work (select as many as apply)? [Law]', 'currentEmp13[SQ039]. In which disciplines do you work (select as many as apply)? [Librarianship & Information Management]', 'currentEmp13[SQ040]. In which disciplines do you work (select as many as apply)? [Linguistics]', 'currentEmp13[SQ041]. In which disciplines do you work (select as many as apply)? [Marketing]', 'currentEmp13[SQ042]. In which disciplines do you work (select as many as apply)? [Materials Technology]', 'currentEmp13[SQ043]. In which disciplines do you work (select as many as apply)? [Mathematics]', 'currentEmp13[SQ044]. In which disciplines do you work (select as many as apply)? [Mechanical Engineering]', 'currentEmp13[SQ045]. In which disciplines do you work (select as many as apply)? [Medicine]', 'currentEmp13[SQ046]. In which disciplines do you work (select as many as apply)? [Middle Eastern and African Studies]', 'currentEmp13[SQ047]. In which disciplines do you work (select as many as apply)? [Music]', 'currentEmp13[SQ048]. In which disciplines do you work (select as many as apply)? [Nursing]', 'currentEmp13[SQ049]. In which disciplines do you work (select as many as apply)? [Ophthalmics]', 'currentEmp13[SQ050]. In which disciplines do you work (select as many as apply)? [Pharmacology & Pharmacy]', 'currentEmp13[SQ051]. In which disciplines do you work (select as many as apply)? [Philosophy]', 'currentEmp13[SQ052]. In which disciplines do you work (select as many as apply)? [Physics and Astronomy]', 'currentEmp13[SQ053]. In which disciplines do you work (select as many as apply)? [Physiotherapy]', 'currentEmp13[SQ054]. In which disciplines do you work (select as many as apply)? [Politics]', 'currentEmp13[SQ055]. In which disciplines do you work (select as many as apply)? [Psychology]', 'currentEmp13[SQ056]. In which disciplines do you work (select as many as apply)? [Robotics]', 'currentEmp13[SQ057]. In which disciplines do you work (select as many as apply)? [Russian & East European Languages]', 'currentEmp13[SQ058]. In which disciplines do you work (select as many as apply)? [Social Policy]', 'currentEmp13[SQ059]. In which disciplines do you work (select as many as apply)? [Social Work]', 'currentEmp13[SQ060]. In which disciplines do you work (select as many as apply)? [Sociology]', 'currentEmp13[SQ061]. In which disciplines do you work (select as many as apply)? [Sports Science]', 'currentEmp13[SQ062]. In which disciplines do you work (select as many as apply)? [Theology & Religious Studies]', 'currentEmp13[SQ063]. In which disciplines do you work (select as many as apply)? [Town & Country Planning and Landscape Design]', 'currentEmp13[SQ064]. In which disciplines do you work (select as many as apply)? [Veterinary Medicine]', 'currentEmp13[SQ065]. In which disciplines do you work (select as many as apply)? [Youth Work]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/academic_field.csv")
In [64]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [65]:
display_side_by_side(v_to_count,perc_to_count)
Count
Computer Science 112
Biological Sciences 87
Physics and Astronomy 80
Mathematics 42
Chemistry 39
Medicine 37
Geography & Environmental Sciences 34
Electrical & Electronic Engineering 25
Mechanical Engineering 24
General Engineering 20
Materials Technology 17
Education 15
Psychology 12
Chemical Engineering 12
Civil Engineering 12
Aeronautical & Manufacturing Engineering 11
Geology 11
Linguistics 11
Anatomy & Physiology 11
Librarianship & Information Management 9
Robotics 9
History 8
Architecture 8
Sociology 8
Economics 8
Classics & Ancient History 7
Social Policy 7
Business & Management Studies 7
Pharmacology & Pharmacy 6
Agriculture & Forestry 6
Middle Eastern and African Studies 5
Anthropology 5
Ophthalmics 4
Food Science 4
Theology & Religious Studies 4
Town & Country Planning and Landscape Design 4
Communication & Media Studies 4
Art & Design 4
History of Art, Architecture & Design 3
Law 3
Nursing 3
Politics 2
Land & Property Management 2
Philosophy 2
English 2
Physiotherapy 1
Social Work 1
Sports Science 1
Veterinary Medicine 1
Youth Work 1
Music 1
Marketing 1
Iberian Languages/Hispanic Studies 1
Hospitality, Leisure, Recreation & Tourism 1
German 1
French 1
Fashion 1
East & South Asian Studies 1
Dentistry 1
Criminology 1
Counselling 1
Complementary Medicine 1
American Studies 1
Russian & East European Languages 0
Accounting & Finance 0
Count [PERCENTAGE]
Computer Science 14.66
Biological Sciences 11.39
Physics and Astronomy 10.47
Mathematics 5.50
Chemistry 5.10
Medicine 4.84
Geography & Environmental Sciences 4.45
Electrical & Electronic Engineering 3.27
Mechanical Engineering 3.14
General Engineering 2.62
Materials Technology 2.23
Education 1.96
Psychology 1.57
Chemical Engineering 1.57
Civil Engineering 1.57
Aeronautical & Manufacturing Engineering 1.44
Geology 1.44
Linguistics 1.44
Anatomy & Physiology 1.44
Librarianship & Information Management 1.18
Robotics 1.18
History 1.05
Architecture 1.05
Sociology 1.05
Economics 1.05
Classics & Ancient History 0.92
Social Policy 0.92
Business & Management Studies 0.92
Pharmacology & Pharmacy 0.79
Agriculture & Forestry 0.79
Middle Eastern and African Studies 0.65
Anthropology 0.65
Ophthalmics 0.52
Food Science 0.52
Theology & Religious Studies 0.52
Town & Country Planning and Landscape Design 0.52
Communication & Media Studies 0.52
Art & Design 0.52
History of Art, Architecture & Design 0.39
Law 0.39
Nursing 0.39
Politics 0.26
Land & Property Management 0.26
Philosophy 0.26
English 0.26
Physiotherapy 0.13
Social Work 0.13
Sports Science 0.13
Veterinary Medicine 0.13
Youth Work 0.13
Music 0.13
Marketing 0.13
Iberian Languages/Hispanic Studies 0.13
Hospitality, Leisure, Recreation & Tourism 0.13
German 0.13
French 0.13
Fashion 0.13
East & South Asian Studies 0.13
Dentistry 0.13
Criminology 0.13
Counselling 0.13
Complementary Medicine 0.13
American Studies 0.13
Russian & East European Languages 0.00
Accounting & Finance 0.00
In [66]:
_ = get_plot(perc_to_count, "multiple choices")

Section: 3

Group of question: prevEmp

Where was your previous job based?

In [67]:
v_to_count  = get_count(df, ['prevEmp1. Where was your previous job based?'], "one choice", "./../survey_creation/uk_17/listAnswers/type_organisation.csv")
In [68]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [69]:
display_side_by_side(v_to_count,perc_to_count)
prevEmp1. Where was your previous job based?
University 121
Private company 64
This is my first job 27
National laboratory 16
Other 8
Government 8
NGO 2
NaN 7
<<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf
prevEmp1. Where was your previous job based? [PERCENTAGE]
University 47.83
Private company 25.30
This is my first job 10.67
National laboratory 6.32
Other3.16
Government 3.163.25
Government 3.25
NGO 0.79
NaN 2.77
In [70]:
_ = get_plot(perc_to_count, "one choice")

Rank the following factors dependent on how strongly they influenced your decision to accept your current position

In [71]:
v_to_count  = get_count(df, ['prevEmp2[1]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 1]', 'prevEmp2[2]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 2]', 'prevEmp2[3]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 3]', 'prevEmp2[4]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 4]', 'prevEmp2[5]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 5]', 'prevEmp2[6]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 6]', 'prevEmp2[7]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 7]', 'prevEmp2[8]. Rank the following factors dependent on how strongly they influenced your decision to accept your current position [Rank 8]'], "ranking", "./../survey_creation/uk_17/listAnswers/reason_leave_job.csv")
In [72]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [73]:
display(perc_to_count)
Rank 1 Rank 2 Rank 3 Rank 4 Rank 5 Rank 6 Rank 7 Rank 8
Desire to work in a research environment 28.95 20.53 20.00 15.79 7.89 3.16 2.63 1.05
Desire to advance research 20.43 20.43 22.04 11.29 12.90 8.06 4.84 NaN
Opportunity to develop software 18.60 19.19 15.12 14.53 13.95 5.81 6.98 5.81
I want to learn new skills 15.98 16.57 13.61 18.34 13.61 11.83 6.51 3.55
Freedom to choose own working practices 14.65 12.10 17.83 14.01 13.38 11.46 12.74 3.82
Opportunity for career advancement 14.49 16.67 11.59 10.14 10.14 13.04 11.59 12.32
Ability to work across disciplines 10.27 21.23 18.49 14.38 11.64 14.38 4.11 5.48
Flexible working hours 9.40 9.40 8.72 18.12 15.44 12.75 10.74 15.44
The salary 7.89 4.39 7.89 13.16 11.40 14.04 23.68 17.54
NaN 3.32 3.81 5.31 7.79 13.10 18.24 21.72 26.70
In [74]:
_ = get_plot(perc_to_count, "ranking")

Section: 4

Group of question: currentWork

Do you always work with the same researcher(s), or do you regularly change the researcher(s) you work with?

In [75]:
v_to_count  = get_count(df, ['currentWork1. Do you always work with the same researcher(s), or do you regularly change the researcher(s) you work with?'], "one choice", "./../survey_creation/uk_17/listAnswers/work_researchers.csv")
In [76]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [77]:
display_side_by_side(v_to_count,perc_to_count)
currentWork1. Do you always work with the same researcher(s), or do you regularly change the researcher(s) you work with?
Regularly change researcher(s) 122
Same researcher(s) 113
NaN 18
currentWork1. Do you always work with the same researcher(s), or do you regularly change the researcher(s) you work with? [PERCENTAGE]
Regularly change researcher(s) 48.22
Same researcher(s) 44.66
NaN 7.11
In [78]:
_ = get_plot(perc_to_count, "one choice")

Do you work for a Research Software Group?

In [79]:
v_to_count  = get_count(df, ['currentWork2. Do you work for a Research Software Group?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [80]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [81]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
currentWork2. Do you work for a Research Software Group? 59 58 136
Yes No
currentWork2. Do you work for a Research Software Group? [PERCENTAGE] 50.43 49.57
In [82]:
_ = get_plot(perc_to_count, "y/n/na")

Group of question: paper

Has your software contributed to research that has been published in a journal or at a conference?; In general, when your software contributes to a paper, are you acknowledged in that paper?; Are you generally named as the main author of the paper?; Are you generally named as a co-author of the paper?; Are you generally acknowledged in the main text of the paper?

In [83]:
v_to_count  = get_count(df, ['paper1. Has your software contributed to research that has been published in a journal or at a conference?', 'paper2. In general, when your software contributes to a paper, are you acknowledged in that paper?', 'paper3. Are you generally named as the main author of the paper?', 'paper4. Are you generally named as a co-author of the paper?', 'paper5. Are you generally acknowledged in the main text of the paper?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [84]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [85]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
paper1. Has your software contributed to research that has been published in a journal or at a conference? 199 20 34
paper2. In general, when your software contributes to a paper, are you acknowledged in that paper? 139 40 74
paper3. Are you generally named as the main author of the paper? 49 86 118
paper4. Are you generally named as a co-author of the paper? 76 12 165
paper5. Are you generally acknowledged in the main text of the paper? 11 1 241
Yes No
paper1. Has your software contributed to research that has been published in a journal or at a conference? 90.87 9.13
paper2. In general, when your software contributes to a paper, are you acknowledged in that paper? 77.65 22.35
paper3. Are you generally named as the main author of the paper? 36.30 63.70
paper4. Are you generally named as a co-author of the paper? 86.36 13.64
paper5. Are you generally acknowledged in the main text of the paper? 91.67 8.33
In [86]:
_ = get_plot(perc_to_count, "y/n/na")

Group of question: conf

Have you ever presented your software work at a conference or workshop?

In [87]:
v_to_count  = get_count(df, ['conf1can. Have you ever presented your software work at a conference or workshop?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [88]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [89]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
conf1can. Have you ever presented your software work at a conference or workshop? 134 101 18
Yes No
conf1can. Have you ever presented your software work at a conference or workshop? [PERCENTAGE] 57.02 42.98
In [90]:
_ = get_plot(perc_to_count, "y/n/na")

Which conference(s)/workshop(s)

In [91]:
 wc = wordcloud(df, ['conf2can. Which conferences or workshops?'])
In [92]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[92]:
(-0.5, 1499.5, 799.5, -0.5)

Group of question: proj

How many software projects are you currently involved in?

In [93]:
v_to_count  = get_count(df, ['proj1can. How many software projects are you currently involved with?'], "freenumeric", "./../survey_creation/uk_17/listAnswers/.csv")
In [94]:
_ = get_plot(v_to_count, "freenumeric")

In general, what sort of testing do you conduct on your software? (check all that apply)

In [95]:
v_to_count  = get_count(df, ['proj4can[SQ001]. In general, what sort of testing do you conduct on your software? (check all that apply) [No formal testing]', 'proj4can[SQ002]. In general, what sort of testing do you conduct on your software? (check all that apply) [Developers conduct testing]', 'proj4can[SQ003]. In general, what sort of testing do you conduct on your software? (check all that apply) [Test engineers conduct testing]', 'proj4can[SQ004]. In general, what sort of testing do you conduct on your software? (check all that apply) [Users conduct testing]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/testing.csv")
In [96]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [97]:
display_side_by_side(v_to_count,perc_to_count)
Count
Developers conduct testing 202
Users conduct testing 99
No formal testing 37
Test engineers conduct testing 18
Count [PERCENTAGE]
Developers conduct testing 56.74
Users conduct testing 27.81
No formal testing 10.39
Test engineers conduct testing 5.06
In [98]:
_ = get_plot(perc_to_count, "multiple choices")

Group of question: stability

What is the bus factor of your most important software project?

In [99]:
v_to_count  = get_count(df, ['stability1. What is the bus factor of your most important software project?'], "likert", "./../survey_creation/uk_17/listAnswers/bus_factor.csv")
In [100]:
display(v_to_count)
1 2 3 4 5+
stability1. What is the bus factor of your most important software project? 99 72 29 8 25
In [101]:
_ = get_plot(v_to_count, "likert")

Is there a technical hand-over plan for your most important software project?

In [102]:
v_to_count  = get_count(df, ['stability2. Is there a technical handover plan for your most important software project?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [103]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [104]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
stability2. Is there a technical handover plan for your most important software project? 61 173 19
Yes No
stability2. Is there a technical handover plan for your most important software project? [PERCENTAGE] 26.07 73.93
In [105]:
_ = get_plot(perc_to_count, "y/n/na")

Group of question: open

Have you ever released your software under an open-source licence?

In [106]:
v_to_count  = get_count(df, ['open01can. Have you ever released your software under an open-source licence?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [107]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [108]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
open01can. Have you ever released your software under an open-source licence? 158 76 19
Yes No
open01can. Have you ever released your software under an open-source licence? [PERCENTAGE] 67.52 32.48
In [109]:
_ = get_plot(perc_to_count, "y/n/na")

How often do you release the software projects you've worked on under an open-source licence?

In [110]:
v_to_count  = get_count(df, ["open1can[A5]. How often do you release the software projects you've worked on under an open-source licence? []"], "likert", "./../survey_creation/uk_17/listAnswers/likert_time_10.csv")
In [111]:
display(v_to_count)
open1can[A5]. How often do you release the software projects you've worked on under an open-source licence? []
In [112]:
_ = get_plot(v_to_count, "likert")

Have you ever used a Digital Object Identifier (DOI) to identify your software?

In [113]:
v_to_count  = get_count(df, ['open03can. Have you ever used a Digital Object Identifier (DOI) to identify your software?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [114]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [115]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
open03can. Have you ever used a Digital Object Identifier (DOI) to identify your software? 52 182 19
Yes No
open03can. Have you ever used a Digital Object Identifier (DOI) to identify your software? [PERCENTAGE] 22.22 77.78
In [116]:
_ = get_plot(perc_to_count, "y/n/na")

How often do you associate your software with a Digital Object Identifier (DOI)?

In [117]:
v_to_count  = get_count(df, ['open3can[SQ001]. How often do you associate your software with a Digital Object Identifier (DOI)? []'], "likert", "./../survey_creation/uk_17/listAnswers/likert_time_10.csv")
In [118]:
display(v_to_count)
open3can[SQ001]. How often do you associate your software with a Digital Object Identifier (DOI)? []
In [119]:
_ = get_plot(v_to_count, "likert")

Group of question: train

Have you ever trained researchers in computational techniques?

In [120]:
v_to_count  = get_count(df, ['train1. Have you ever trained researchers in computational techniques?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [121]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [122]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
train1. Have you ever trained researchers in computational techniques? 152 82 19
Yes No
train1. Have you ever trained researchers in computational techniques? [PERCENTAGE] 64.96 35.04
In [123]:
_ = get_plot(perc_to_count, "y/n/na")

On average, how many times a year do you take part in providing training?

In [124]:
v_to_count  = get_count(df, ['train2. On average, how many times a year do you take part in providing training?'], "freenumeric", "./../survey_creation/uk_17/listAnswers/.csv")
In [125]:
_ = get_plot(v_to_count, "freenumeric")

What training programs are you involved with (comma separated list) (For example, Software Carpentry, local university training, etc.)

In [126]:
 wc = wordcloud(df, ['train3. What training programs are you involved with (comma separated list)?'])
In [127]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[127]:
(-0.5, 1499.5, 799.5, -0.5)

Group of question: fund

Do you know the source of the funding used to support you and your current, largest project?

In [128]:
v_to_count  = get_count(df, ['fund1. Do you know the source of the funding used to support you and your current, largest project?'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [129]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [130]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
fund1. Do you know the source of the funding used to support you and your current, largest project? 199 23 31
Yes No
fund1. Do you know the source of the funding used to support you and your current, largest project? [PERCENTAGE] 89.64 10.36
In [131]:
_ = get_plot(perc_to_count, "y/n/na")

Which of the following sources are used to pay for your effort as an RSE/equivalent?

In [132]:
v_to_count  = get_count(df, ['fund2[SQ001]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [I volunteer my time]', 'fund2[SQ002]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Donation button]', 'fund2[SQ003]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Crowdfunding (one-time)]', 'fund2[SQ004]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Crowdfunding (recurring)]', 'fund2[SQ005]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Books & merchandise]', 'fund2[SQ006]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Advertising & sponsorships]', 'fund2[SQ007]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Industry support]', 'fund2[SQ008]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Consulting & services]', 'fund2[SQ009]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Grants]', 'fund2[SQ010]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [SaaS]', 'fund2[SQ011]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Membership]', 'fund2[SQ012]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Dual license]', 'fund2[SQ013]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Open core]', 'fund2[SQ014]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Foundations & consortiums]', 'fund2[SQ015]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Venture capital]', 'fund2[SQ016]. Which of the following sources are used to pay for your effort as an RSE/equivalent? [Trademark licensing & franchising]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/funding.csv")
In [133]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [134]:
display_side_by_side(v_to_count,perc_to_count)
Count
Grants 163
Industry support 33
I volunteer my time 27
Consulting & services 17
Open core 7
Foundations & consortiums 6
Trademark licensing & franchising 3
SaaS 2
Membership 2
Dual license 2
Crowdfunding (one-time) 1
Books & merchandise 1
Advertising & sponsorships 1
Venture capital 1
Donation button 0
Crowdfunding (recurring) 0
Count [PERCENTAGE]
Grants 61.28
Industry support 12.41
I volunteer my time 10.15
Consulting & services 6.39
Open core 2.63
Foundations & consortiums 2.26
Trademark licensing & franchising 1.13
SaaS 0.75
Membership 0.75
Dual license 0.75
Crowdfunding (one-time) 0.38
Books & merchandise 0.38
Advertising & sponsorships 0.38
Venture capital 0.38
Donation button 0.00
Crowdfunding (recurring) 0.00
In [135]:
_ = get_plot(perc_to_count, "multiple choices")

Which of the following sources are used to fund your current, largest project?

In [136]:
v_to_count  = get_count(df, ['fund3[SQ001]. Which of the following sources are used to fund your current, largest project? [Volunteers]', 'fund3[SQ002]. Which of the following sources are used to fund your current, largest project? [Donation button]', 'fund3[SQ003]. Which of the following sources are used to fund your current, largest project? [Crowdfunding (one-time)]', 'fund3[SQ004]. Which of the following sources are used to fund your current, largest project? [Crowdfunding (recurring)]', 'fund3[SQ005]. Which of the following sources are used to fund your current, largest project? [Books & merchandise]', 'fund3[SQ006]. Which of the following sources are used to fund your current, largest project? [Advertising & sponsorships]', 'fund3[SQ007]. Which of the following sources are used to fund your current, largest project? [Industry support]', 'fund3[SQ008]. Which of the following sources are used to fund your current, largest project? [Consulting & services]', 'fund3[SQ009]. Which of the following sources are used to fund your current, largest project? [Grants]', 'fund3[SQ010]. Which of the following sources are used to fund your current, largest project? [SaaS]', 'fund3[SQ011]. Which of the following sources are used to fund your current, largest project? [Membership]', 'fund3[SQ012]. Which of the following sources are used to fund your current, largest project? [Dual license]', 'fund3[SQ013]. Which of the following sources are used to fund your current, largest project? [Open core]', 'fund3[SQ014]. Which of the following sources are used to fund your current, largest project? [Foundations & consortiums]', 'fund3[SQ015]. Which of the following sources are used to fund your current, largest project? [Venture capital]', 'fund3[SQ016]. Which of the following sources are used to fund your current, largest project? [Trademark licensing & franchising]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/funding.csv")
In [137]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [138]:
display_side_by_side(v_to_count,perc_to_count)
Count
Grants 157
Industry support 30
Volunteers 15
Consulting & services 8
Foundations & consortiums 5
Membership 2
Dual license 2
Open core 2
Trademark licensing & franchising 2
Donation button 1
Crowdfunding (one-time) 1
SaaS 1
Venture capital 1
Crowdfunding (recurring) 0
Books & merchandise 0
Advertising & sponsorships 0
Count [PERCENTAGE]
Grants 69.16
Industry support 13.22
Volunteers 6.61
Consulting & services 3.52
Foundations & consortiums 2.20
Membership 0.88
Dual license 0.88
Open core 0.88
Trademark licensing & franchising 0.88
Donation button 0.44
Crowdfunding (one-time) 0.44
SaaS 0.44
Venture capital 0.44
Crowdfunding (recurring) 0.00
Books & merchandise 0.00
Advertising & sponsorships 0.00
In [139]:
_ = get_plot(perc_to_count, "multiple choices")

Which of the following sources were used to fund your current, largest project three years ago?

In [140]:
v_to_count  = get_count(df, ['fund4[SQ017]. Which of the following sources were used to fund your current, largest project three years ago? [My previous project is less than 3 years old]', 'fund4[SQ001]. Which of the following sources were used to fund your current, largest project three years ago? [Volunteers]', 'fund4[SQ002]. Which of the following sources were used to fund your current, largest project three years ago? [Donation button]', 'fund4[SQ003]. Which of the following sources were used to fund your current, largest project three years ago? [Crowdfunding (one-time)]', 'fund4[SQ004]. Which of the following sources were used to fund your current, largest project three years ago? [Crowdfunding (recurring)]', 'fund4[SQ005]. Which of the following sources were used to fund your current, largest project three years ago? [Books & merchandise]', 'fund4[SQ006]. Which of the following sources were used to fund your current, largest project three years ago? [Advertising & sponsorships]', 'fund4[SQ007]. Which of the following sources were used to fund your current, largest project three years ago? [Industry support]', 'fund4[SQ008]. Which of the following sources were used to fund your current, largest project three years ago? [Consulting & services]', 'fund4[SQ009]. Which of the following sources were used to fund your current, largest project three years ago? [Grants]', 'fund4[SQ010]. Which of the following sources were used to fund your current, largest project three years ago? [SaaS]', 'fund4[SQ011]. Which of the following sources were used to fund your current, largest project three years ago? [Membership]', 'fund4[SQ012]. Which of the following sources were used to fund your current, largest project three years ago? [Dual license]', 'fund4[SQ013]. Which of the following sources were used to fund your current, largest project three years ago? [Open core]', 'fund4[SQ014]. Which of the following sources were used to fund your current, largest project three years ago? [Foundations & consortiums]', 'fund4[SQ015]. Which of the following sources were used to fund your current, largest project three years ago? [Venture capital]', 'fund4[SQ016]. Which of the following sources were used to fund your current, largest project three years ago? [Trademark licensing & franchising]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/funding.csv")
In [141]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [142]:
display_side_by_side(v_to_count,perc_to_count)
Count
Grants 127
My previous project is less than 3 years old 24
Industry support 23
Volunteers 10
Consulting & services 6
Dual license 2
Open core 2
Advertising & sponsorships 1
SaaS 1
Foundations & consortiums 1
Venture capital 1
Trademark licensing & franchising 1
Books & merchandise 0
Crowdfunding (recurring) 0
Crowdfunding (one-time) 0
Donation button 0
Membership 0
Count [PERCENTAGE]
Grants 63.82
My previous project is less than 3 years old 12.06
Industry support 11.56
Volunteers 5.03
Consulting & services 3.02
Dual license 1.01
Open core 1.01
Advertising & sponsorships 0.50
SaaS 0.50
Foundations & consortiums 0.50
Venture capital 0.50
Trademark licensing & franchising 0.50
Books & merchandise 0.00
Crowdfunding (recurring) 0.00
Crowdfunding (one-time) 0.00
Donation button 0.00
Membership 0.00
In [143]:
_ = get_plot(perc_to_count, "multiple choices")

Section: 5

Group of question: perfCheck

Do you receive sufficient information on the results of your work?; Does your work give you the opportunity to check on how well you are doing your work?; In your work, do you have access to sufficient data and information?; Do you receive sufficient information on the purpose of your work?; Does your work provide you with direct feedback on how well you are doing your work?; Does your supervisor/line manager inform you about how well you are doing your work?; Do your colleagues inform you about how well you are doing your work?

In [144]:
v_to_count  = get_count(df, ['likerttime1[perfCheck1]. Please rate the following propositions. There are no right or wrong answers [Do you receive sufficient information on the results of your work?]', 'likerttime1[perfCheck2]. Please rate the following propositions. There are no right or wrong answers [Do you get the opportunity to check on how well you are doing your work?]', 'likerttime1[perfCheck3]. Please rate the following propositions. There are no right or wrong answers [Do you have access to sufficient data and information to do your work?]', 'likertime2[perfCheck4]. Please rate the following propositions. There are no right or wrong answers [Do you receive sufficient information on the purpose of your work?]', 'likertime2[perfCheck5]. Please rate the following propositions. There are no right or wrong answers [Does your work provide you with direct feedback on how well you are doing?]', 'likertime2[perfCheck6]. Please rate the following propositions. There are no right or wrong answers [Does your supervisor/line manager inform you about how well you are doing your work?]', 'likerttime1[perfCheck7]. Please rate the following propositions. There are no right or wrong answers [Do your colleagues inform you about how well you are doing your work?]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_time_5.csv")
In [145]:
display(v_to_count)
Never Sometimes Often Very Often Always
Do you receive sufficient information on the results of your work? 5 74 62 51 21
Do you get the opportunity to check on how well you are doing your work? 17 90 68 30 8
Do you have access to sufficient data and information to do your work? 1 44 62 75 40
Do you receive sufficient information on the purpose of your work? 6 38 73 50 47
Does your work provide you with direct feedback on how well you are doing? 15 115 41 29 13
Does your supervisor/line manager inform you about how well you are doing your work? 13 97 53 28 16
Do your colleagues inform you about how well you are doing your work? 20 110 48 32 7
In [146]:
_ = get_plot(v_to_count, "likert")

Group of question: turnOver

In [147]:
v_to_count  = get_count(df, ['likertime2[turnOver1]. Please rate the following propositions. There are no right or wrong answers [How often do you feel frustrated when not given the opportunity to achieve your personal work-related goals?]', 'likertime2[turnOver2]. Please rate the following propositions. There are no right or wrong answers [How often do you look forward to another day at work?]', 'likerttime1[turnOver3]. Please rate the following propositions. There are no right or wrong answers [How often do you consider leaving your job?]', 'likerttime1[turnOver4]. Please rate the following propositions. There are no right or wrong answers [How often do you dream about getting another job that will better suit your needs?]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_time_5.csv")
In [148]:
display(v_to_count)
Never Sometimes Often Very Often Always
How often do you feel frustrated when not given the opportunity to achieve your personal work-related goals? 32 98 41 24 12
How often do you look forward to another day at work? 7 72 74 43 19
How often do you consider leaving your job? 45 111 30 24 9
How often do you dream about getting another job that will better suit your needs? 43 99 23 34 19
In [149]:
_ = get_plot(v_to_count, "likert")

My current job satisfies my personal needs; I would accept another job at the same compensation level if I was offered it

In [150]:
v_to_count  = get_count(df, ['likertagree1[turnOver5]. Please rate the following propositions. There are no right or wrong answers [My current job satisfies my personal needs]', 'likertagree3[turnOver6]. Please rate the following propositions. There are no right or wrong answers [I would accept another job at the same compensation level if I was offered it]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_agree.csv")
In [151]:
display(v_to_count)
Strongly disagree Disagree Neither agree or disagree Agree Strongly Agree
My current job satisfies my personal needs 9 26 36 113 37
I would accept another job at the same compensation level if I was offered it 27 64 72 33 13
In [152]:
_ = get_plot(v_to_count, "likert")

Group of question: affRec

I am satisfied with my supervisor/line manager's confidence in me; I am satisfied with a word of thanks from my supervisor/line manager; I am satisfied with the recognition I receive from my supervisor/line manager for doing my job; I am satisfied with the compliments from my supervisor/line manager concerning my work; I am satisfied with the encouragement from my supervisor/line manager while doing my job

In [153]:
v_to_count  = get_count(df, ["likertagree3[affRec1]. Please rate the following propositions. There are no right or wrong answers [I am satisfied with my supervisor/line manager's confidence in me]", 'likertagree2[affRec2]. Please rate the following propositions. There are no right or wrong answers [I am satisfied with a word of thanks from my supervisor/line manager]', 'likertagree2[affRec3]. Please rate the following propositions. There are no right or wrong answers [I am satisfied with the recognition I receive from my supervisor/line manager for doing my job]', 'likertagree1[affRec4]. Please rate the following propositions. There are no right or wrong answers [I am satisfied with the compliments from my supervisor/line manager concerning my work]', 'likertagree3[affRec5]. Please rate the following propositions. There are no right or wrong answers [I am satisfied with the encouragement from my supervisor/line manager while doing my job]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_agree.csv")
In [154]:
display(v_to_count)
Strongly disagree Disagree Neither agree or disagree Agree Strongly Agree
I am satisfied with my supervisor/line manager's confidence in me 6 13 30 105 56
I am satisfied with a word of thanks from my supervisor/line manager 8 22 58 89 37
I am satisfied with the recognition I receive from my supervisor/line manager for doing my job 9 31 37 90 51
I am satisfied with the compliments from my supervisor/line manager concerning my work 8 37 43 101 19
I am satisfied with the encouragement from my supervisor/line manager while doing my job 9 33 46 87 34
In [155]:
_ = get_plot(v_to_count, "likert")

Group of question: percEmp

It would not be very difficult for me to get an equivalent job in a different organisation; I can think of a number of organisations that would probably offer me a job; My experience is in demand on the labour market; Given my qualifications and experience, getting a new job would not be very hard at all

In [156]:
v_to_count  = get_count(df, ['likertagree1[percEmp1]. Please rate the following propositions. There are no right or wrong answers [It would not be very difficult for me to get an equivalent job in a different organisation]', 'likertagree2[percEmp2]. Please rate the following propositions. There are no right or wrong answers [I can think of a number of organisations that would probably offer me a job]', 'likertagree1[percEmp3]. Please rate the following propositions. There are no right or wrong answers [My experience is in demand on the labour market]', 'likertagree3[percEmp4]. Please rate the following propositions. There are no right or wrong answers [Given my qualifications and experience, getting a new job would not be very hard at all]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_agree.csv")
In [157]:
display(v_to_count)
Strongly disagree Disagree Neither agree or disagree Agree Strongly Agree
It would not be very difficult for me to get an equivalent job in a different organisation 11 39 64 61 36
I can think of a number of organisations that would probably offer me a job 2 14 35 101 69
My experience is in demand on the labour market 3 13 37 101 60
Given my qualifications and experience, getting a new job would not be very hard at all 8 20 66 75 44
In [158]:
_ = get_plot(v_to_count, "likert")

Group of question: affSat

I find real enjoyment in my job; Most days I am enthusiastic about my job; I feel fairly well satisfied with my job; I like my job better than the average person

In [159]:
v_to_count  = get_count(df, ['likertagree2[affSat1]. Please rate the following propositions. There are no right or wrong answers [I find real enjoyment in my job]', 'likertagree2[affSat2]. Please rate the following propositions. There are no right or wrong answers [Most days I am enthusiastic about my job]', 'likertagree1[affSat3]. Please rate the following propositions. There are no right or wrong answers [I feel satisfied with my job]', 'likertagree3[affSat4]. Please rate the following propositions. There are no right or wrong answers [I like my job more than average]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_agree.csv")
In [160]:
display(v_to_count)
Strongly disagree Disagree Neither agree or disagree Agree Strongly Agree
I find real enjoyment in my job 4 10 20 95 96
Most days I am enthusiastic about my job 5 16 37 115 50
I feel satisfied with my job 9 26 40 111 29
I like my job more than average 7 10 41 101 55
In [161]:
_ = get_plot(v_to_count, "likert")

Group of question: satisGen

In general, how satisfied are you with Your current position

In [162]:
v_to_count  = get_count(df, ['satisGen1[SQ001]. In general, how satisfied are you with: [Your current position]', 'satisGen1[SQ002]. In general, how satisfied are you with: [Your career]'], "likert", "./../survey_creation/uk_17/listAnswers/likert_satisfied_10.csv")
In [163]:
display(v_to_count)
0 - Not at all satisfied 1 2 3 4 5 6 7 8 9 10 - Completely satisfied
Your current position 7 4 6 4 12 18 32 61 44 26 5
Your career 4 4 7 14 19 23 37 55 41 12 4
In [164]:
_ = get_plot(v_to_count, "likert")

Section: 6

Group of question: socio

Please select your gender

In [165]:
v_to_count  = get_count(df, ['socio2. Please select your gender'], "one choice", "./../survey_creation/uk_17/listAnswers/gender.csv")
In [166]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [167]:
display_side_by_side(v_to_count,perc_to_count)
socio2. Please select your gender
Male 183
Female 33
Other 1
NaN 36
socio2. Please select your gender [PERCENTAGE]
Male 72.33
Female 13.04
Other 0.40
NaN 14.23
In [168]:
_ = get_plot(perc_to_count, "one choice")

Please select your age

In [169]:
v_to_count  = get_count(df, ['socio3. Please select your age'], "one choice", "./../survey_creation/uk_17/listAnswers/age.csv")
In [170]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [171]:
display_side_by_side(v_to_count,perc_to_count)
socio3. Please select your age
35 to 44 years 88
25 to 34 years 78
45 to 54 years 38
55 to 64 years 12
18 to 24 years 4
NaN 33
socio3. Please select your age [PERCENTAGE]
35 to 44 years 34.78
25 to 34 years 30.83
45 to 54 years 15.02
55 to 64 years 4.74
18 to 24 years 1.58
NaN 13.04
In [172]:
_ = get_plot(perc_to_count, "one choice")

How would you describe your ethnic origin? This refers to people who share the same cultural background and identity, not country of birth or nationality.

In [173]:
v_to_count  = get_count(df, ['socio5. How would you describe your ethnic origin? This refers to people who share the same cultural background and identity, not country of birth or nationality.'], "one choice", "./../survey_creation/uk_17/listAnswers/ethnicity.csv")
In [174]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [175]:
display_side_by_side(v_to_count,perc_to_count)
socio5. How would you describe your ethnic origin? This refers to people who share the same cultural background and identity, not country of birth or nationality.
White: English / Welsh / Scottish / Northern Irish / British 136
White: Any other White background 57
Asian / Asian British: Chinese 5
White: Irish 3
Other Ethnic group: Any other ethnic group 3
Black / African / Caribbean / Black Britsh: African 2
Mixed / Multipe Ethnic groups: Any other Mixed / Multiple ethnic background, 2
Asian / Asian British: Indian 1
Mixed / Multipe Ethnic groups: White and Black Caribbean 1
NaN 43
<<<<<<< HEAD ======= >>>>>>> 35f6fa0f3aa8235cb5599666c27c71a196c4e9cf
socio5. How would you describe your ethnic origin? This refers to people who share the same cultural background and identity, not country of birth or nationality. [PERCENTAGE]
White: English / Welsh / Scottish / Northern Irish / British 53.75
White: Any other White background 22.53
Asian / Asian British: Chinese1.98
White: Irish 1.19
Other Ethnic group: Any other ethnic group 1.19
Black / African / Caribbean / Black Britsh: African 0.79
Mixed / Multipe Ethnic groups: Any other Mixed / Multiple ethnic background, 0.792.38
White: Irish 1.43
Other Ethnic group: Any other ethnic group 1.43
Black / African / Caribbean / Black Britsh: African 0.95
Mixed / Multipe Ethnic groups: Any other Mixed / Multiple ethnic background, 0.95
Asian / Asian British: Indian 0.40
Mixed / Multipe Ethnic groups: White and Black Caribbean 0.40
NaN 17.00
In [176]:
_ = get_plot(perc_to_count, "one choice")

Please select the range of your salary

In [177]:
v_to_count  = get_count(df, ['socio4. Please select the range of your salary'], "one choice", "./../survey_creation/uk_17/listAnswers/salary.csv")
In [178]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [179]:
display_side_by_side(v_to_count,perc_to_count)
socio4. Please select the range of your salary
≥ £32,277 and < £43,325 99
≥ £43,325 and < £58,172 56
≥ £24,057 and < £32,277 36
≥ £58,172 8
< £18,031 7
≥ £18,031 and < £24,057 4
NaN 43
socio4. Please select the range of your salary [PERCENTAGE]
≥ £32,277 and < £43,325 39.13
≥ £43,325 and < £58,172 22.13
≥ £24,057 and < £32,277 14.23
≥ £58,172 3.16
< £18,031 2.77
≥ £18,031 and < £24,057 1.58
NaN 17.00
In [180]:
_ = get_plot(perc_to_count, "one choice")

Group of question: disa

Do you have a condition that is defined as a disability by the Equality Act 2010*

In [181]:
v_to_count  = get_count(df, ['disa1. Do you have a condition that is defined as a disability by the Equality Act 2010*'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [182]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [183]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
disa1. Do you have a condition that is defined as a disability by the Equality Act 2010* 10 199 44
Yes No
disa1. Do you have a condition that is defined as a disability by the Equality Act 2010* [PERCENTAGE] 4.78 95.22
In [184]:
_ = get_plot(perc_to_count, "y/n/na")

Section: 7

Group of question: tool

What Operating System do you prefer to use at work?

In [185]:
v_to_count  = get_count(df, ['tool2. What Operating System do you prefer to use at work?'], "one choice", "./../survey_creation/uk_17/listAnswers/os.csv")
In [186]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [187]:
display_side_by_side(v_to_count,perc_to_count)
tool2. What Operating System do you prefer to use at work?
GNU/Linux 135
OS X 51
Windows 33
Other 2
NaN 32
tool2. What Operating System do you prefer to use at work? [PERCENTAGE]
GNU/Linux 53.36
OS X 20.16
Windows 13.04
Other 0.79
NaN 12.65
In [188]:
_ = get_plot(perc_to_count, "one choice")

What programming languages do you use at work? (Select as many as apply)

In [189]:
v_to_count  = get_count(df, ['tool4can[SQ001]. What programming languages do you use at work? (Select as many as apply) [Assembly]', 'tool4can[SQ002]. What programming languages do you use at work? (Select as many as apply) [C]', 'tool4can[SQ003]. What programming languages do you use at work? (Select as many as apply) [C#]', 'tool4can[SQ004]. What programming languages do you use at work? (Select as many as apply) [C++]', 'tool4can[SQ005]. What programming languages do you use at work? (Select as many as apply) [Clojure]', 'tool4can[SQ006]. What programming languages do you use at work? (Select as many as apply) [CoffeeScript]', 'tool4can[SQ007]. What programming languages do you use at work? (Select as many as apply) [Common Lisp]', 'tool4can[SQ036]. What programming languages do you use at work? (Select as many as apply) [CUDA]', 'tool4can[SQ008]. What programming languages do you use at work? (Select as many as apply) [Dart]', 'tool4can[SQ009]. What programming languages do you use at work? (Select as many as apply) [Elixir]', 'tool4can[SQ010]. What programming languages do you use at work? (Select as many as apply) [Erlang]', 'tool4can[SQ011]. What programming languages do you use at work? (Select as many as apply) [F#]', 'tool4can[SQ037]. What programming languages do you use at work? (Select as many as apply) [FORTRAN]', 'tool4can[SQ012]. What programming languages do you use at work? (Select as many as apply) [Go]', 'tool4can[SQ013]. What programming languages do you use at work? (Select as many as apply) [Groovy]', 'tool4can[SQ014]. What programming languages do you use at work? (Select as many as apply) [Hack]', 'tool4can[SQ015]. What programming languages do you use at work? (Select as many as apply) [Haskell]', 'tool4can[SQ016]. What programming languages do you use at work? (Select as many as apply) [Java]', 'tool4can[SQ017]. What programming languages do you use at work? (Select as many as apply) [JavaScript]', 'tool4can[SQ018]. What programming languages do you use at work? (Select as many as apply) [Julia]', 'tool4can[SQ019]. What programming languages do you use at work? (Select as many as apply) [Lua]', 'tool4can[SQ038]. What programming languages do you use at work? (Select as many as apply) [Markup languages (HTML, markdown,...)]', 'tool4can[SQ020]. What programming languages do you use at work? (Select as many as apply) [Matlab]', 'tool4can[SQ021]. What programming languages do you use at work? (Select as many as apply) [Objective-C]', 'tool4can[SQ022]. What programming languages do you use at work? (Select as many as apply) [Perl]', 'tool4can[SQ023]. What programming languages do you use at work? (Select as many as apply) [PHP]', 'tool4can[SQ024]. What programming languages do you use at work? (Select as many as apply) [Python]', 'tool4can[SQ025]. What programming languages do you use at work? (Select as many as apply) [R]', 'tool4can[SQ026]. What programming languages do you use at work? (Select as many as apply) [Ruby]', 'tool4can[SQ027]. What programming languages do you use at work? (Select as many as apply) [Rust]', 'tool4can[SQ028]. What programming languages do you use at work? (Select as many as apply) [Scala]', 'tool4can[SQ029]. What programming languages do you use at work? (Select as many as apply) [Smalltalk]', 'tool4can[SQ030]. What programming languages do you use at work? (Select as many as apply) [SQL]', 'tool4can[SQ031]. What programming languages do you use at work? (Select as many as apply) [Swift]', 'tool4can[SQ039]. What programming languages do you use at work? (Select as many as apply) [Unix Shell Scripting]', 'tool4can[SQ032]. What programming languages do you use at work? (Select as many as apply) [TypeScript]', 'tool4can[SQ033]. What programming languages do you use at work? (Select as many as apply) [VB.NET]', 'tool4can[SQ034]. What programming languages do you use at work? (Select as many as apply) [VBA]', 'tool4can[SQ035]. What programming languages do you use at work? (Select as many as apply) [Visual Basic]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/programing_language.csv")
In [190]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [191]:
display_side_by_side(v_to_count,perc_to_count)
Count
Python 189
Unix Shell Scripting 140
Markup languages (HTML, markdown,...) 113
C++ 94
C 92
JavaScript 85
FORTRAN 81
SQL 79
Java 65
Matlab 61
R 57
Perl 41
PHP 31
CUDA 21
C# 19
Ruby 14
TypeScript 9
Groovy 7
VBA 7
Visual Basic 7
Scala 6
Assembly 5
Go 5
Rust 3
F# 3
Elixir 2
CoffeeScript 2
Objective-C 2
Julia 2
Haskell 2
Erlang 1
Smalltalk 1
Swift 1
VB.NET 1
Clojure 1
Lua 1
Hack 0
Dart 0
Common Lisp 0
Count [PERCENTAGE]
Python 15.12
Unix Shell Scripting 11.20
Markup languages (HTML, markdown,...) 9.04
C++ 7.52
C 7.36
JavaScript 6.80
FORTRAN 6.48
SQL 6.32
Java 5.20
Matlab 4.88
R 4.56
Perl 3.28
PHP 2.48
CUDA 1.68
C# 1.52
Ruby 1.12
TypeScript 0.72
Groovy 0.56
VBA 0.56
Visual Basic 0.56
Scala 0.48
Assembly 0.40
Go 0.40
Rust 0.24
F# 0.24
Elixir 0.16
CoffeeScript 0.16
Objective-C 0.16
Julia 0.16
Haskell 0.16
Erlang 0.08
Smalltalk 0.08
Swift 0.08
VB.NET 0.08
Clojure 0.08
Lua 0.08
Hack 0.00
Dart 0.00
Common Lisp 0.00
In [192]:
_ = get_plot(perc_to_count, "multiple choices")

Group of question: ukrse

Are you a member of the UK RSE Association? (Members are people who have signed up to the UK RSE mailing list)

In [193]:
v_to_count  = get_count(df, ['ukrse1. Are you a member of the UK RSE Association? (Members are people who have signed up to the UK RSE mailing list at www.rse.ac.uk)'], "y/n/na", "./../survey_creation/uk_17/listAnswers/.csv")
In [194]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [195]:
display_side_by_side(v_to_count,perc_to_count)
Yes No nan
ukrse1. Are you a member of the UK RSE Association? (Members are people who have signed up to the UK RSE mailing list at www.rse.ac.uk) 156 62 35
Yes No
ukrse1. Are you a member of the UK RSE Association? (Members are people who have signed up to the UK RSE mailing list at www.rse.ac.uk) [PERCENTAGE] 71.56 28.44
In [196]:
_ = get_plot(perc_to_count, "y/n/na")

How do you meet other RSEs?

In [197]:
v_to_count  = get_count(df, ['ukrse2[SQ001]. How do you meet other RSEs? [UK RSE Association]', 'ukrse2[SQ002]. How do you meet other RSEs? [Local RSE group/network]', 'ukrse2[SQ003]. How do you meet other RSEs? [N/A]'], "multiple choices", "./../survey_creation/uk_17/listAnswers/ukrse.csv")
In [198]:
perc_to_count = get_percentage(v_to_count, dropna=True)
In [199]:
display_side_by_side(v_to_count,perc_to_count)
Count
N/A 101
UK RSE Association 72
Local RSE group/network 66
Count [PERCENTAGE]
N/A 42.26
UK RSE Association 30.13
Local RSE group/network 27.62
In [200]:
_ = get_plot(perc_to_count, "multiple choices")

How did you learn the skills you need to become an RSE?

In [201]:
 wc = wordcloud(df, ['ukrse3. How did you learn the skills you need to become an RSE?'])
In [202]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[202]:
(-0.5, 1499.5, 799.5, -0.5)

Group of question: skill

What three skills would you like to acquire or improve to help your work as a Research Software Engineer? The skills can be technical and non-technical.

In [203]:
 wc = wordcloud(df, ['skill2[SQ001]. What skills would you like to acquire or improve to help your work as a Research Software Engineer? The skills can be technical and non-technical. [Skill 1]', 'skill2[SQ2]. What skills would you like to acquire or improve to help your work as a Research Software Engineer? The skills can be technical and non-technical. [Skill 2]', 'skill2[SQ3]. What skills would you like to acquire or improve to help your work as a Research Software Engineer? The skills can be technical and non-technical. [Skill 3]'])
In [204]:
 plt.imshow(wc, interpolation='bilinear')
 plt.axis("off")
Out[204]:
(-0.5, 1499.5, 799.5, -0.5)